MCRCNet: A Bearing Fault Diagnosis Method for Unknown Faults Based on Transfer Learning

MCRCNet: A Bearing Fault Diagnosis Method for Unknown Faults Based on Transfer Learning

Bearing fault diagnosis in actual working conditions often faces the problem that unknown type faults cannot be identified, which seriously restricts the practical application of fault diagnosis technology. To solve this problem, this paper proposes a bearing fault diagnosis method based on transfer...

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Bibliographic Details
Main Authors: Guangyuan Xu, Ruifeng Guo, Zhenyu Yin, Feiqing Zhang
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Applied Sciences
Subjects:
fault diagnosis
transfer learning
convolutional reconstruction
loss function
Wasserstein distance
Online Access:https://www.mdpi.com/2076-3417/15/2/921
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